Your current thought is a good way to achieve this. You can maintain a counter to track the processed messages and verify it in the ProcessMessageAsync() method before proceeding. If the limit is reached, the consumer should wait until the current minute completes, reset the counter, and continue processing.
Here is an example of how you can implement this in code:
Code snippet
private int processedMessages = 0;
public async Task ProcessMessageAsync(Message message)
{
if (processedMessages >= messageLimit)
{
// Wait until the current minute completes
DateTime now = DateTime.Now;
DateTime nextMinute = now.AddMinutes(1);
await Task.Delay(nextMinute - now);
// Reset the counter
processedMessages = 0;
}
// Process the message
await ProcessMessage(message);
// Increment the counter
processedMessages++;
}
This code will ensure that the consumer only processes a maximum of messageLimit messages per minute. If the limit is reached, the consumer will wait until the next minute before continuing to process messages.
Here are some other things to consider when implementing this:
- You should use a consistent way to measure time. For example, you could use the DateTime: https://docs.microsoft.com/en-us/dotnet/api/system.datetime class.
- You should make sure that the consumer is able to handle the case where the queue contains more than messageLimit messages. For example, you could implement a queue overflow policy.
- You should monitor the consumer to make sure that it is not exceeding the message limit.
I hope this helps! Let me know if you have any other questions.